Advanced Machine Learning Project 2: Heart rhythm classification from raw ECG signals
features_ata.csv contains 64 features extracted from ecg file. For detailes take a look at feature_extraction_ata.ipynb where the feature extraction is performed.
Perform preprocessing (outlier detection, label balancing, normalisation, etc.) and classification using features_ata.csv. For classification maybe first try using 1 vs all for class 3 and then further classify class 0,1,2.
- A Brief Survey of Time Series Classification Algorithms https://towardsdatascience.com/a-brief-introduction-to-time-series-classification-algorithms-7b4284d31b97